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1. Huyen runs a regression with 4 explanatory variables (excluding the intercept) and 10 observations. Her R2 is 0.9. What's her adjusted R2?
2. Casey works for a shipping company and she's in charge of hiring. The company keeps track of a lot of information and Casey wants to be able to predict how long, in hours, it would take for a driver to complete a typical route (TIME). She runs a regression using the driver's high school GPA (GPA), the number of accidents they've been in in the past decade (ACCIDENTS), and a dummy variable of if they smoke (SMOKE?) with 1 being a smoker and 0 being a non-smoker. Suppose all variables are statistically significant and the result is this:
TIME = 9.8 - 0.9*(GPA) + 0.67*(ACCIDENTS) + 0.25*(SMOKE?)
How long would it probably take for a non-smoker with 2 past accidents and a 3.6 GPA to complete the route? For each additional accident the driver's been involved in, how many minutes does that add or subtract from their time to completion?
A sample, in hour's of life, is as follows:: 123, 116, 122, 110, 180, 126, 125 Find all Measures of Location (Central Tendency) and Measures of Variability (Dispersion or Variation).
The purpose of the study is to predict the GPA scores of 2nd year graduate students at hofstra university. The survey has been conducted from the 15 2nd year graduate students. The data set consists of six variables namely ‘Individual responses'
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Identify the population and the sample and the variable of interest: The Gallup Organization contacts 1019 adult residents of the United States aged 18 or older and asks whether the events of September 11, 2001 were a life-altering experience
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